Welcome to the website of the Language Technology and Data Analysis Laboratory (LADAL). LADAL (pronounced lah’dahl) is a free, open-source, collaborative support infrastructure for digital and computational humanities established 2019 by the School of Languages and Cultures at the University of Queensland. LADAL aims at assisting anyone interested in working with language data in matters relating to data processing, visualization, and analysis and offers guidance on matters relating to language technology and digital research tools. To this end, LADAL offers introductions to topics and concepts related to digital and computational humanities, online tutorials, interactive Jupyter notebooks, and events including workshops and webinar series.
LADAL is part of the Australian Text Analytics Platform (ATAP). The aim of ATAP is to provide researchers with a Notebook environment – in other words a tool set - that is more powerful and customisable than standard packages, while being accessible to a large number of researchers who do not have strong coding skills.
The Australian Text Analytics Platform (ATAP) projects received investment (https://doi.org/10.47486/PL074) from the Australian Research Data Commons (ARDC). The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS).
The Australian Text Analytics Platform (ATAP) projects received investment (https://doi.org/10.47486/PL074) from the Australian Research Data Commons (ARDC). The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS).
Since going public January 1, 2021, LADAL has received more than 200,000 unique page views of more than 120,000 users in more than 170,000 sessions! The majority of LADAL users access the LADAL website from the USA (app. 28%), Great Britain (app. 7%), Germany (app. 6%), India (5%), Australia (5%), and China (app. 2.5%). The highest number of unique users was April 27, 2021 with 824 unique users.
To get in touch with us here at LADAL, maybe because you are interested in becoming a contributor or because you found an error on our site, you can simply write an email to ladal@uq.edu.au, reach out to us on Twitter (@slcladal), send us a message on Facebook (see our Facebook page or you can sign up to the LADAL email list. To subscribe to our email list, simply write an email to ladal@uq.edu.au with the subject email list.
The LADAL aims to help develop computational and digital skills by providing information and practical, hands-on tutorials on data and text analytics as well as on statistical methods relevant for language research. In addition, the LADAL provides self-guided study materials relevant for computational Natural Language Processing. In order to be attractive to both beginners and people with advanced skills, the LADAL website covers topics and introduces methods relevant for people coming with different degrees of prior knowledge and experience - ranging from introductions to concepts of quantitative reasoning to step-by-step guides on advanced statistical modeling.
Since the primary concern of the LADAL is to introduce computational methods that are relevant to research involving natural language, the focus of this website is placed on linguistic data and methods relevant for text analytics. As such, the LADAL provides resources for (computational) text analytics and offers introductions to quantitative reasoning, research designs, and computational methods including data visualization and statistics. The areas covered on the LADAL website are
introductions to quantitative reasoning and basic concepts in empirical language studies.
introductions to R as programming environment for processing natural language data.
tutorials on data visualization and data analytics (statistics and machine learning).
tutorials on text analysis, text mining, distant reading, and corpus linguistics.
The resources and events offered by LADAL also aim at promoting and informing about Best Practices in data handling such as transparency, reproducibility and the FAIR principles (data should be findable, accessible, interoperable, and reusable).
Below are selected user stories of people that have used LADAL resources in their research, training, or teaching.
USER STORIES
We are currently looking for user stories (also known as testimonials) to see and show what people use LADAL resources for. If you have used LADAL resources - be it by simply copying some code, attending a workshop, learning about a method using a tutorial, or in any other way - we would be extremely grateful, if you would send us your user story!
To submit your user story, simply write up a short paragraph describing how you have used LADAL resources and what you have used them for and send it to ladal@uq.edu.au. We really appreciate any feedback from you about this!